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# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for lock_util."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
import time
from absl.testing import parameterized
from tensorflow.python.platform import test
from tensorflow.python.util import lock_util
class GroupLockTest(test.TestCase, parameterized.TestCase):
@parameterized.parameters(1, 2, 3, 5, 10)
def testGroups(self, num_groups):
lock = lock_util.GroupLock(num_groups)
num_threads = 10
finished = set()
def thread_fn(thread_id):
time.sleep(random.random() * 0.1)
group_id = thread_id % num_groups
with lock.group(group_id):
time.sleep(random.random() * 0.1)
self.assertGreater(lock._group_member_counts[group_id], 0)
for g, c in enumerate(lock._group_member_counts):
if g != group_id:
self.assertEqual(0, c)
finished.add(thread_id)
threads = [
self.checkedThread(target=thread_fn, args=(i,))
for i in range(num_threads)
]
for i in range(num_threads):
threads[i].start()
for i in range(num_threads):
threads[i].join()
self.assertEqual(set(range(num_threads)), finished)
if __name__ == "__main__":
test.main()
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